Artificial Intelligence

Ever since computers were invented, there has been a massive growth in their ability and potential to perform various tasks. In order to use computers across diverse working domains, many geniuses have developed computer systems with increasing speed and decreasing size & time for performing.

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Artificial Intelligence pursues the stream of developing computers or machines to be as intelligent as humans themselves. Decades passed and AI has massive growth. So many industries are moving towards adopting Artificial Intelligence. This results in creating more jobs for the AI Engineers. In this article, you will go through the concept of AI, it’s working and what type of career to choose in AI.

What is AI?

Artificial Intelligence is one of the emerging technologies that try to simulate human reasoning in AI systems. Researchers have made significant strides in weak AI systems, while they have only made a marginal mark in strong AI systems.

Most of us have used Siri, Google Assistant, Cortana, or even Bixby at some point in our lives. What are they? They are our digital personal assistants. They help us find useful information when we ask for it using our voice; we can say ‘Hey Siri, show me the closest fast-food restaurant’ or ‘Who is the 21st President of the United States?’, and the assistant will respond with the relevant information by either going through your phone or searching on the web. This is a simple example of Artificial Intelligence! Let’s read more about it!

Artificial Intelligence working

Computers are good at following processes, i.e., sequences of steps to execute a task. If we give a computer steps to execute a task, it should easily be able to complete it. The steps are nothing but algorithms. An algorithm can be as simple as printing two numbers or as difficult as predicting who will win elections in the coming year!

Let’s take an example of predicting the weather forecast for 2020.

First of all, what we need is a lot of data! Let’s take the data from 2006 to 2019.

Now, we will divide this data into an 80:20 ratio. 80 percent of the data is going to be our labeled data, and the rest 20 percent will be our test data. Thus, we have the output for the entire 100 percent of the data that has been acquired from 2006 to 2019.

What happens once we collect the data? We will feed the labeled data, i.e., 80 percent of train data, into the machine. Here, the algorithm is learning from the data which has been fed into it.

Go through our tutorial on AI to get a clear understanding of Artificial Intelligence!

Next, we need to test the algorithm. Here, we feed the test data, i.e., the remaining 20 percent of the data, to the machine. The machine gives us the output. Now, we cross verify the output given by the machine with the actual output of the data and check for its accuracy. While checking for accuracy if we are not satisfied with the model, we tweak the algorithm to give us the precise output or at least somewhere close to the actual output. Once we are satisfied with the model, we then feed the data to the model so that it can predict the weather forecast for the year 2020.

What Courses to choose in Artificial Intelligence?

In order to master the field of Artificial Intelligence (ai systems) and machine learning algorithms one should have the following Prerequisites.

* Bachelor’s degree in IT, Computer Science, Statistics, Data Science, Finance, etc.
* Master’s degree in Computer Science, Mathematics, Cognitive Science, Data Science, etc.
* Certifications in Data Science, Machine Learning, etc.

Start with an introductory course in AI that will give you an overview of the field. The course will update you on the basics of AI and it’s research and developments to date. Apart from this, you can also avail hands-on experience with the Understanding an Artificial Neural Network, Convolutional neural networks and its applications, Supervised and unsupervised learning methodology, Application of DL in image recognition, NLP and more.

Why Artificial Intelligence Certification is Important?

The demand for Artificial Intelligence professionals will always continue to grow. Not just that, but certification will also help you in increasing your earning potential.

You’re appearing for an interview for an artificial intelligence engineer profile. Out of all the candidates who have appeared for the interview, 10% of them are certified AI engineers. What happens next? Since this 10 % are certified, they’d be given more preference than the rest only because they are certified.

Getting certified helps you in standing out from the crowd. Hence, certification is important.

A career in Artificial Intelligence

To start a career in AI, you must get the following skills:

• Excellent programming skills in Java and Python
• Good knowledge of the concepts of ML and Deep Learning
• Expert in mathematics and statistics

To master these skills and become a professional in AI, enroll in Artificial Intelligence Course. In this training course, you will learn artificial neural networks, TensorFlow, GPU in Deep Learning, and hyperparameters.

Also, check out this comprehensive video on the career path of Artificial Intelligence: